AI/ML Technical Lead

Experis; Khordha; On-site; INR 4,000,000 - 6,400,000; Full time

Job summary

Experis in Bhubaneswar seeks an AI/ML Technical Lead with 8+ years of experience to design, develop, and deploy enterprise AI/ML and Generative AI solutions.

The role focuses on architecture, roadmaps, scalable AI platforms, and production systems. Expertise in NLP, CV, LLMs, RAG, LangChain and cloud platforms is essential.

Qualifications

• 8+ years of experience in AI/ML, design, development and deployment.
• Proven leadership in building enterprise AI/ML and Generative AI systems.
• Strong knowledge of ML/DL, NLP, CV, LLMs and MLOps.

Responsibilities

• Lead architecture, design and development of AI/ML and Generative AI solutions.
• Define AI technology roadmaps and scalable, secure architectures.
• Build production-ready AI systems with emphasis on reliability and governance.
• Develop ML/DL, NLP, CV and Generative AI applications across domains.
• Design end-to-end LLM-based apps using RAG, AI Agents, Prompt Engineering and fine-tuning.
• Oversee MLOps pipelines for training, deployment and monitoring.
• Mentor engineers and collaborate with Product, Data and Business teams.

Skills

Python

Machine Learning

Deep Learning

NLP

Computer Vision

LLMs

Generative AI

RAG

LangChain

LlamaIndex

LangGraph

AI Agents

Prompt Engineering

Fine-tuning

Embeddings

Vector Databases

MLOps

AWS

Azure

GCP

AI Architecture

Distributed Systems

Database Technologies

AI Data Pipelines

Education

BE / B.Tech / MCA

Tools

AWS

Azure

GCP

Job description

Position: AI/ML Technical Lead

Employment Type: Full-Time (FTE)

Experience: 8+ Years

Location: Bhubaneswar

Qualification: BE / B.Tech / MCA

Notice Period: Immediate Joiner

Job Summary

We are looking for an AI/ML Technical Lead with 8 10 years of experience in designing, developing, and deploying enterprise AI/ML and Generative AI solutions. The candidate should have expertise in Machine Learning, Deep Learning, NLP, Computer Vision, LLMs, MLOps, and cloud platforms, along with strong technical leadership experience.

Mandatory Skills

• Python
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Large Language Models (LLMs)
• Generative AI
• RAG (Retrieval-Augmented Generation)
• LangChain
• LlamaIndex
• LangGraph
• CrewAI
• AI Agents
• Prompt Engineering
• Fine-tuning
• Embeddings
• Vector Databases
• MLOps
• AWS / Azure / GCP
• AI Architecture
• Distributed Systems
• Database Technologies
• AI Data Processing Pipelines

Roles & Responsibilities

• Lead the architecture, design, and development of AI/ML and Generative AI solutions.
• Define AI technology roadmaps and scalable solution architectures.
• Build and deploy production-ready AI systems with scalability, security, and reliability.
• Develop Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI applications.
• Design and optimize LLM-based applications using RAG, AI Agents, Prompt Engineering, Fine-tuning, and orchestration frameworks.
• Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Review AI models, code, and system designs to ensure quality and best practices.
• Lead AI platform modernization and optimization initiatives.
• Ensure AI governance, explainability, compliance, and ethical AI practices.
• Collaborate with Product, Engineering, Data, and Business teams to deliver AI solutions.
• Mentor AI Engineers, Data Scientists, and Developers.
• Conduct technical workshops and knowledge-sharing sessions.
• Participate in technical hiring and team development.
• Evaluate emerging AI technologies and contribute to innovation initiatives.
• Drive Proof of Concepts (POCs) and strategic AI transformation programs.

Preferred Skills

• Experience with ethical AI and model governance
• Strong stakeholder management and communication skills
• Experience in performance tuning and system optimization
• Leadership and mentoring experience